Badges for Credit

Analytics Badge
MAR 635
Marketing Research
MAR 664
Predictive Analytics
MAR 657
Visual Analytics
Applied Statistics Badge
Introduction to Statistics Course
MAT 218
Applied Regression Models
MAT 222
Applied Multivariable Statistical Methods
MAT 225
Bayesian Statistics and Modeling
Criminal Justice Risk Management
CRJ 297B
Topic: Social and Political Risks in Criminal Justice Agencies
Immigration Advocacy and Policy Badge
POL 247
International Law and Human Rights
SOC 227
Border Crossing: Immigration and American Society
ECO 356
Labor Economics
or HIS 113B
 The American Experience: American Diversity, Immigration, Ethnicity and Race
or HIS 216
 History of Human Rights
or HIS 240
 The US-Mexico Border and the History of Mexican Migration
or HIS 345
 History of America Immigration Law, 1790 to the Present
or LLS 100
 Latina/o Communities
or POL 257
 Latinx Politics in the United States
or POL 303M
 Topics: Migration Politics: From Displacement to Deportation
SOC 390
Internship in Sociology
or WS 280
 Internship in Women's and Gender Studies
Learning to Work with Students with Special Needs Badge
ED 675
Students with Severe Disabilities
ED 677
Literacy Instructions for Diverse Learners
Literacy Enrichment Reading Writing Digital Technology Badge
ED 754
Literature and Digital Storytelling
ED 758
Instructional Approaches for Tchng Writing, Digital Cmpsng, & Media Prdctn for a Diverse Pop of Stds
Data Science Badge
Complete one quantitative data analysis course that is above the introductory level (i.e. 200 or 300 level)
MAT 218
Applied Regression Models
or MAT 222
 Applied Multivariable Statistical Methods
or MAT 225
 Bayesian Statistics and Modeling
or MAT 238
 Linear Algebra
or CS 312
 Research Methods in Computers and Society
or CS 377
 Mathematical Foundations of Machine Learning
or ECO 240
 Quantitative Analysis and Forecasting
or MGT 226
 Business Analytics
or MGT 353
 Predictive Analytics
or MGT 388
 Machine Learning for Business
or MAR 368
 Visual Analytics
Complete one computer programming course that is above the introductory level (i.e. 200 or 300 level).
CIT 261
Introduction to Coding Using Python
or CIT 348
 Data Mining
or CS 385
 Artificial Intelligence I
or ECO 389
 Economic Data Analysis (R & Python)
or MGT 251
 Introduction to Programming for Data Science
Complete a course that is relevant to data science in the Badge Earner's field of study.
BIO 336
Genomics
or BIO 399F
 Topics in Biology: Bioinformatics
or CHE 335
 Molecular Modeling and Machine Learning for Drug Discovery
or ENS 326
 Geographic Information Systems
or CIT 351
 Introduction to Geographic Information Systems
or CIT 380
 Applied AI with Deep Learning
or ECO 385
 Econometrics: Models and Organizations
or FIN 325
 Data Analysis in Finance
or FSS 272
 Hollywood and Big Data
or POL 224
 Public Opinion and Polling Methods
Or a course listed above for quantitative analysis and computer programming

For further information about credit badges please visit our Badge Offering webpage.